The model determines a stochastic continuous process as continuous limit of a stochastic discrete process so to show that the stochastic continuous process converges to the stochastic discrete process such that we can integrate it. Furthermore, the model determines the expected volatility and the expected mean so to show that the volatility and the mean are increasing function of the time
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We provide general conditions under which a class of discrete-time volatility models driven by the s...
This lengthy paper extends the author's work on optimal planning of consumption versus capital accum...
The model determines a stochastic continuous process as continuous limit of a stochastic discrete pr...
AbstractIn this note we develop the theory of stochastic integration w.r.t. continuous local marting...
AbstractWe develop a pathwise construction of stochastic integrals relative to continuous martingale...
Vilela Mendes et al. (2015), based on the discovery of long-range dependence in the volatility of st...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Stochastic volatility (SV) models are substantial for financial markets and decision making because ...
This volume gives a unified presentation of stochastic analysis for continuous and discontinuous sto...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We discuss martingales, detrending data, and the efficient market hypothesis for stochastic processe...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We provide general conditions under which a class of discrete-time volatility models driven by the s...
This lengthy paper extends the author's work on optimal planning of consumption versus capital accum...
The model determines a stochastic continuous process as continuous limit of a stochastic discrete pr...
AbstractIn this note we develop the theory of stochastic integration w.r.t. continuous local marting...
AbstractWe develop a pathwise construction of stochastic integrals relative to continuous martingale...
Vilela Mendes et al. (2015), based on the discovery of long-range dependence in the volatility of st...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Modeling the stock price development as a geometric Brownian motion or, more generally, as a stochas...
Stochastic volatility (SV) models are substantial for financial markets and decision making because ...
This volume gives a unified presentation of stochastic analysis for continuous and discontinuous sto...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We discuss martingales, detrending data, and the efficient market hypothesis for stochastic processe...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We provide general conditions under which a class of discrete-time volatility models driven by the s...
This lengthy paper extends the author's work on optimal planning of consumption versus capital accum...